报告题目： A comparison of analgesic techniques for total knee arthroplasty: A network meta-analysis
时 间：2022年11月10日（星期四）上午9：00-10：00
地 点：腾讯会议（153-553-636）
主 办：数学与统计学院
参加对象：感兴趣的老师和学生
报告摘要：There is no established analgesic method for postoperative total knee arthroplasty. We comprehensively compared the analgesic methods for postoperative total knee arthroplasty. A network meta-analysis of randomised controlled trials was used to compare 18 interventions, which were ranked by six outcome indices, to select the best modality. 98 randomised controlled trials involving 7452 patients (ASA I-III) were included in the final analysis. Interventions: Studies that included the use of at least one of the following 12 nerve block(fascia iliaca compartment block (FIB), FNB, cFNB, single femoral nerve block (sFNB), adductor canal block (ACB), sciatic nerve block (SNB), obturator nerve block (ONB), continuous posterior lumbar plexus block (PSOAS), FNB + SNB, ACB + LIA, FNB + LIA, PCA + FNB). Pain intensity was compared using Visual Analogue Scale (VAS). Also, postoperative complications, function score, hospital length of stay, morphine consumption and patient satisfaction were measured. For visual analogue scale scores, continuous femoral nerve block (FNB) and FNB + sciatic nerve block (SNB) were the most effective interventions. For reducing postoperative complications, fascia iliaca compartment block, FNB, SNB, and obturator nerve block showed the best results. For reducing postoperative morphine consumption, adductor canal block (ACB) + local infiltration analgesia (LIA) and FNB + SNB were preferred. For function scores (range of motion, Timed-Up-and-Go test), ACB and LIA were optimal choices. For reducing hospital length of stay and patient satisfaction, ACB + LIA and FNB + LIA were best, respectively. Peripheral nerve block, especially FNB and ACB, is a better option than other analgesic methods, and its combination with other methods can be beneficial. Peripheral nerve block is a safe and effective postoperative analgesia method. However, our findings can only provide objective evidence. Clinicians should choose the treatment course based on the individual patient’s condition and clinical situation.
报告人简介：赵世舜，教授，吉林大学数学学院，吉林大学获得博士学位，师从于史宁中教授。于2013年-2014年在美国密苏里大学做访问学者，近年来一直从事生存分析、多元统计以及大数据方向的研究。在国内外名杂志已发表论文SCI论文20余篇，包括区间删失的研究、相依区间删失的研究以及特征选择方向的研究。作为项目负责人主持国家自然科学面上项目2项，教育部科研项目1项，省自然科学基金2项。作为主要参加人参加国家自然科学基金项目3项。